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ORCIDRaul Vicente
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2020 – today
- 2024
[c9]Dmytro Shvetsov, Joonas Ariva, Marharyta Domnich
, Raul Vicente, Dmytro Fishman:
COIN: Counterfactual Inpainting for Weakly Supervised Semantic Segmentation for Medical Images. xAI (3) 2024: 39-59- [c8]Marharyta Domnich, Raul Vicente:
Enhancing Counterfactual Explanation Search with Diffusion Distance and Directional Coherence. xAI (3) 2024: 60-84 - [c7]Eduard Barbu, Marharyta Domnich, Raul Vicente, Nikos Sakkas:
Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 153-160 - [i19]Marharyta Domnich, Raul Vicente:
Enhancing Counterfactual Explanation Search with Diffusion Distance and Directional Coherence. CoRR abs/2404.12810 (2024) - [i18]Dmytro Shvetsov, Joonas Ariva, Marharyta Domnich, Raul Vicente, Dmytro Fishman:
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images. CoRR abs/2404.12832 (2024) - [i17]Eduard Barbu, Marharyta Domnich, Raul Vicente, Nikos Sakkas, André Morim:
Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis. CoRR abs/2405.11958 (2024) - 2023
- [j19]Jaan Aru, Aqeel Labash, Oriol Corcoll, Raul Vicente:
Mind the gap: challenges of deep learning approaches to Theory of Mind. Artif. Intell. Rev. 56(9): 9141-9156 (2023) - [c6]Aqeel Labash, Florian Stelzer, Daniel Majoral, Raul Vicente Zafra:
Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning. ICML 2023: 18153-18170 - [i16]Aqeel Labash, Florian Fletzer, Daniel Majoral, Raul Vicente:
Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning. CoRR abs/2307.12143 (2023) - 2022
- [j18]Anti Ingel, Abdullah Makkeh, Oriol Corcoll, Raul Vicente:
Quantifying Reinforcement-Learning Agent's Autonomy, Reliance on Memory and Internalisation of the Environment. Entropy 24(3): 401 (2022) - [j17]Oriol Corcoll, Youssef Sherif Mansour Mohamed, Raul Vicente:
Did I do that? Blame as a means to identify controlled effects in reinforcement learning. Trans. Mach. Learn. Res. 2022 (2022) - [c5]Oriol Corcoll, Raul Vicente:
Disentangling Controlled Effects for Hierarchical Reinforcement Learning. CLeaR 2022: 178-200 - [i15]Jaan Aru, Aqeel Labash, Oriol Corcoll, Raul Vicente:
Mind the gap: Challenges of deep learning approaches to Theory of Mind. CoRR abs/2203.16540 (2022) - 2021
- [j16]Raul Vicente, Youssef Mohamed, Víctor M. Eguíluz, Emal Zemmar, Patrick Bayer, Joseph S. Neimat, Juha Hernesniemi, Bradley J. Nelson, Ajmal Zemmar:
Modelling the Impact of Robotics on Infectious Spread Among Healthcare Workers. Frontiers Robotics AI 8: 652685 (2021) - [i14]Oriol Corcoll, Raul Vicente:
Did I do that? Blame as a means to identify controlled effects in reinforcement learning. CoRR abs/2106.00266 (2021) - 2020
- [j15]Aqeel Labash, Jaan Aru, Tambet Matiisen, Ardi Tampuu, Raul Vicente:
Perspective Taking in Deep Reinforcement Learning Agents. Frontiers Comput. Neurosci. 14: 69 (2020) - [j14]Daniel Majoral, Ajmal Zemmar, Raul Vicente:
A model for time interval learning in the Purkinje cell. PLoS Comput. Biol. 16(2) (2020) - [i13]Oriol Corcoll, Raul Vicente:
Disentangling causal effects for hierarchical reinforcement learning. CoRR abs/2010.01351 (2020) - [i12]Abdullah Makkeh, Dirk Oliver Theis, Raul Vicente:
Partial Information Decomposition of Boolean Functions: a Fourier Analysis perspective. CoRR abs/2010.06976 (2020) - [i11]Florian Stelzer, André Röhm, Raul Vicente, Ingo Fischer, Serhiy Yanchuk:
Deep Learning with a Single Neuron: Folding a Deep Neural Network in Time using Feedback-Modulated Delay Loops. CoRR abs/2011.10115 (2020)
2010 – 2019
- 2019
- [j13]Abdullah Makkeh, Daniel Chicharro, Dirk Oliver Theis, Raul Vicente:
MAXENT3D_PID: An Estimator for the Maximum-Entropy Trivariate Partial Information Decomposition. Entropy 21(9): 862 (2019) - [j12]Patricia Wollstadt, Joseph T. Lizier, Raul Vicente, Conor Finn, Mario Martínez-Zarzuela, Pedro A. M. Mediano, Leonardo Novelli, Michael Wibral:
IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks. J. Open Source Softw. 4(34): 1081 (2019) - [j11]Ardi Tampuu, Tambet Matiisen, H. Freyja Ólafsdóttir, Caswell Barry, Raul Vicente:
Efficient neural decoding of self-location with a deep recurrent network. PLoS Comput. Biol. 15(2) (2019) - [i10]Aqeel Labash, Jaan Aru, Tambet Matiisen, Ardi Tampuu, Raul Vicente:
Perspective Taking in Deep Reinforcement Learning Agents. CoRR abs/1907.01851 (2019) - [i9]Anti Ingel, Ilya Kuzovkin, Raul Vicente:
Direct information transfer rate optimisation for SSVEP-based BCI. CoRR abs/1907.10509 (2019) - [i8]Raul Vicente:
The many faces of deep learning. CoRR abs/1908.10206 (2019) - 2018
- [j10]Zurab Bzhalava, Ardi Tampuu, Piotr Bala, Raul Vicente, Joakim Dillner:
Machine Learning for detection of viral sequences in human metagenomic datasets. BMC Bioinform. 19(1): 336:1-336:11 (2018) - [j9]Abdullah Makkeh, Dirk Oliver Theis, Raul Vicente:
BROJA-2PID: A Robust Estimator for Bivariate Partial Information Decomposition. Entropy 20(4): 271 (2018) - [i7]Jaan Aru, Raul Vicente:
What deep learning can tell us about higher cognitive functions like mindreading? CoRR abs/1803.10470 (2018) - [i6]Tambet Matiisen, Aqeel Labash, Daniel Majoral, Jaan Aru, Raul Vicente:
Do deep reinforcement learning agents model intentions? CoRR abs/1805.06020 (2018) - [i5]Patricia Wollstadt, Joseph T. Lizier, Raul Vicente, Conor Finn, Mario Martínez-Zarzuela, Pedro A. M. Mediano, Leonardo Novelli, Michael Wibral:
IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks. CoRR abs/1807.10459 (2018) - [i4]Aqeel Labash, Ardi Tampuu, Tambet Matiisen, Jaan Aru, Raul Vicente:
APES: a Python toolbox for simulating reinforcement learning environments. CoRR abs/1808.10692 (2018) - 2017
- [j8]Abdullah Makkeh, Dirk Oliver Theis, Raul Vicente:
Bivariate Partial Information Decomposition: The Optimization Perspective. Entropy 19(10): 530 (2017) - [j7]Sten Sootla, Dirk Oliver Theis, Raul Vicente:
Analyzing Information Distribution in Complex Systems. Entropy 19(12): 636 (2017) - 2015
- [j6]Germán Gómez-Herrero, Wei Wu, Kalle Rutanen, Miguel C. Soriano, Gordon Pipa, Raul Vicente:
Assessing Coupling Dynamics from an Ensemble of Time Series. Entropy 17(4): 1958-1970 (2015) - [i3]Ardi Tampuu, Tambet Matiisen, Dorian Kodelja, Ilya Kuzovkin, Kristjan Korjus, Juhan Aru, Jaan Aru, Raul Vicente:
Multiagent Cooperation and Competition with Deep Reinforcement Learning. CoRR abs/1511.08779 (2015) - 2014
- [j5]Belén Sancristóbal, Raul Vicente, Jordi García-Ojalvo:
Role of frequency mismatch in neuronal communication through coherence. J. Comput. Neurosci. 37(2): 193-208 (2014) - [i2]Patricia Wollstadt, Mario Martínez-Zarzuela, Raul Vicente, Francisco Javier Díaz Pernas, Michael Wibral:
Efficient transfer entropy analysis of non-stationary neural time series. CoRR abs/1401.4068 (2014) - 2013
- [j4]Belén Sancristóbal, Raul Vicente, José M. Sancho, Jordi García-Ojalvo:
Emergent bimodal firing patterns implement different encoding strategies during gamma-band oscillations. Frontiers Comput. Neurosci. 7: 18 (2013) - 2012
- [c4]Michael Wibral, Patricia Wollstadt, Ulrich Meyer, Nicolae Pampu, Viola Priesemann, Raul Vicente:
Revisiting Wiener's principle of causality - interaction-delay reconstruction using transfer entropy and multivariate analysis on delay-weighted graphs. EMBC 2012: 3676-3679 - 2011
- [j3]David Eriksson, Raul Vicente, Kerstin Erika Schmidt:
A Linear Model of Phase-Dependent Power Correlations in Neuronal Oscillations. Frontiers Comput. Neurosci. 5: 34 (2011) - [j2]Bertram Scheller, Marta Castellano, Raul Vicente, Gordon Pipa:
Spike Train Auto-Structure Impacts Post-Synaptic Firing and Timing-Based Plasticity. Frontiers Comput. Neurosci. 5: 60 (2011) - [j1]Raul Vicente, Michael Wibral, Michael Lindner, Gordon Pipa:
Transfer entropy - a model-free measure of effective connectivity for the neurosciences. J. Comput. Neurosci. 30(1): 45-67 (2011) - 2010
- [i1]Germán Gómez-Herrero, Wei Wu, Kalle Rutanen, Miguel C. Soriano, Gordon Pipa, Raul Vicente:
Assessing coupling dynamics from an ensemble of time series. CoRR abs/1008.0539 (2010)
2000 – 2009
- 2008
- [c3]Gordon Pipa, Raul Vicente, Alexander Tikhonov:
Auto-structure of Presynaptic Activity Defines Postsynaptic Firing Statistics and Can Modulate STDP-Based Structure Formation and Learning. ICANN (2) 2008: 413-422 - [c2]Ekkehard Ullner, Raul Vicente, Gordon Pipa, Jordi García-Ojalvo:
Contour Integration and Synchronization in Neuronal Networks of the Visual Cortex. ICANN (2) 2008: 703-712 - 2007
- [c1]Raul Vicente, Gordon Pipa, Ingo Fischer, Claudio R. Mirasso:
Zero-Lag Long Range Synchronization of Neurons Is Enhanced by Dynamical Relaying. ICANN (1) 2007: 904-913
Coauthor Index
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last updated on 2024-10-23 21:26 CEST by the dblp team
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